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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 5717
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    Explanations

    It is challenging to determine a specific pattern as neuron 4 seems to be activated by a series of special characters and letters without a clear relation

    oai_token-act-pair · gpt-3.5-turbo

    special characters and symbols, possibly indicating formatting or encoding anomalies in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Constantine
    -0.86
     ponies
    -0.79
     Harper
    -0.79
     Arkham
    -0.78
     settlements
    -0.76
     Cantor
    -0.76
     Bethlehem
    -0.76
     landowners
    -0.75
     Alexandria
    -0.73
     directories
    -0.73
    POSITIVE LOGITS
    ë
    2.36
    ì
    2.34
    í
    2.28
    ê
    2.27
    ëĭ
    2.26
    ìĿ
    2.23
    íķ
    2.22
     ì
    2.13
     ë
    2.12
    é¾įå
    1.43
    Activations Density 0.008%

    No Known Activations